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    EJB Electronic Journal of Biotechnology ISSN: 0717-3458 Vol.1 No.3, Issue of August 15, 1998. ©  1998 by Universidad Católica de Valparaíso –- Chile Invited review paper / Received 5 September 1998

    This paper is available on line at http://www.ejb.org

    REVIEW ARTICLE 

    General and microbiological aspects of solid substrate fermentation

    Maurice RaimbaultLaboratoire de Biotechnologie Microbienne Tropicale, Centre ORSTOM-LBMT 911 av. Agropolis - B.P.:5045 - 34032 Montpellier (France)

    E-mail: [email protected] 

    http://www.mpl.orstom.fr 

    At first some general considerations about specificity

    and characteristics of SSF, their advantages and disad-

    vantages as compared to LSF, are presented.

    Microorganisms involved in solid substrate

    fermentations are identified, considering the better per-

    formances of filamentous fungi. The solid substratesand their basic macromolecular compounds are detai-

    led in relation to this complex and heterogeneous sys-

    tem. Biomass measurement is examined in detail, as

    well as environmental factors, both essential for

    studying and optimising solid substrate fermentations.

    General considerations

    Aerobic microbial transformation of solid materials or "So-

    lid Substrate Fermentation" (SSF) can be defined in terms

    of the following properties:

    - A solid porous matrix which can be biodegradable or not, but with a large surface area per unit volume, in the range

    of 103 to 106 m2/ cm3, for a ready microbial growth on the

    solid/gas interface.

    - The matrix should absorb water amounting one or several

    times its dry weight with a relatively high water activity on

    the solid/gas interface in order to allow high rates of bio-

    chemical processes.

    - Air mixture of oxygen with other gases and aerosols

    should flow under a relatively low pressure and mix the

    fermenting mash.

    - The solid/gas interface should be a good habitat for the

    fast development of specific cultures of moulds, yeasts or  bacteria, either in pure or mixed cultures.

    - The mechanical properties of the solid matrix should

    stand compression or gentle stirring, as required for a gi-

    ven fermentation process. This requires small granular or 

    fibrous particles, which do not tend to break or stick to

    each other.

    - The solid matrix should not be contaminated by inhibi-

    tors of microbial activities and should be able to absorb or 

    contain available microbial foodstuffs such as carbohy-

    drates (cellulose, starch, sugars) nitrogen sources (ammo-

    nia, urea, peptides) and mineral salts.

    Typical examples of SSF are traditional fermentations such

    as:

    - Japanese "koji" which uses steamed rice as solid substrate

    inoculated with solid strains of the mould Aspergillus ory-

     zae.

    - Indonesian "tempeh" or Indian "ragi" which use steamedand cracked legume seeds as solid substrate and a variety

    of non toxic moulds as microbial seed.

    - French "blue cheese" which uses perforated fresh cheese

    as substrate and selected moulds, such as  Penicillium ro-

    quefortii as inoculum.

    - Composting of lignocellulosic fibres, naturally contami-

    nated by a large variety of organisms including cellulolytic

     bacteria, moulds and Streptomyces sp.

    - In addition to traditional fermentations, new versions of 

    SSF have been invented. For example, it is estimated that

    nearly a third of industrial SSF and koji processes in Japan

    has been modernised for large scale production of citric

    and itaconic acids.

    Furthermore, new applications of SSF have been suggested

    for the production of antibiotics (Barrios et al., 1988),

    secondaries metabolites (Trejo-Hernandez et al., 1992,

    1993) or enriched foodstuffs (Senez et al., 1980).

    Presently SSF has been applied to large-scale industrial

     processes mainly in Japan. Traditional koji, manufactured

    in small wooden and bamboo trays, has changed gradually

    to more sophisticated processes: fixed bed room fermenta-

    tions, rotating drum processes and automated stainless

    steel chambers or trays with microprocessors, electronicssensors and servomechanical stirring, loading and dischar-

    ging. The usual scale in sake or miso factories is around 1

    or 2 metric tons per batch, but reactors can be made and

    delivered by engineering firms to a capacity as large as 20

    tons (Fujiwara, Ltd.).

    Outside Japan, Kumar (1987) has reported medium scale

     production of enzymes, such as pectinases, in India.  Koji

    type processes are widely used in small factories of the Far 

    East (Hesseltine, 1972) and koji  fermentation has been

    adapted to local conditions in United States (USA) and

    other Western countries, including Cuba (III A). In France,

    a new firm (Lyven S.A.) was recently created to

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    Raimbault, M.

    175

    commercialise a process for pectinase production from su-

    garbeet pulp. Blue cheese production in France is being

    modernised with improvements on the mechanical condi-

    tioning of cheeses, production of mould spores and control

    of environmental conditions.

    Composting, which was developed for small-scale produc-

    tion of mushrooms, has been modernised and scaled up in

    Europe and USA. Also, various firms in Europe and USA

     produce mushroom spawn by cultivating Agaricus, Pleuro-

    tus or Shii-Take aseptically on sterile grains in static

    conditions.

     New versions for SSF reactors have been developed in

    France (Durand et al., 1988; Roussos et al., 1993, Durand

    et al., 1997), Cuba (Cabello, 1985; Enríquez, 1983 and Ro-

    dríguez, 1986), Chile (Fernández et al., 1996) and funda-

    mental studies on process engineering are being conductedin Mexico (Saucedo-Castañeda, 1990).

    SSF is a batch process using natural heterogeneous mate-

    rials (Raimbault, 1981 and Tengerdy, 1985), containing

    complex polymers like lignin (Agosin et al, 1989), pectin

    (Kumar, 1987; Oriol, 1988a), lignocellulose (Roussos,

    1985). SSF has been focused mainly to the production of 

    feed, hydrolytic enzymes, organic acids, gibberelins,

    flavours and biopesticides.

    Most of the recent research activity on SSF is being done

    in developing nations as a possible alternative for conven-tional submerged fermentations, which are the main pro-

    cess in pharmaceutical and food industries in industrialised

    nations.

    SSF seems to have theoretical advantages over liquid

    substrate fermentation (LSF). Nevertheless, SSF has seve-

    ral important limitations. Table 1 shows advantages and

    disadvantages of SSF compared to LSF.

    Table 2 presents a list of SSF processes in economical sec-

    tors of agro-industry, agriculture and fermentation

    industry. Most of the processes are commercialised in

    South-East Asian, African, and Latin American countries. Nevertheless, a resurgence of interest has occurred in Wes-

    tern and European countries over the last 10 years. The fu-

    ture potentials and applications of SSF for specific proces-

    ses are discussed later.

    Table 1. Comparison between Liquid and Solid Substrate Fermentations.

    FACTOR Liquid

    Substrate Fermentation

    Solid

    Substrate Fermentation

    Soluble Substrates (sugars) Polymer Insoluble Substrates:

    Sub strates Starch Cellulose Pectines Lignin

    Aseptic conditions Heat sterilisation and aseptic

    Control

    Vapor treatment, non sterile

    conditions

    Water High volumes ofwaterconsu-med

    and effluents discarded

    Limited Consumption of Wa-ter;

    low Aw. No effluent

    Metabolic Heating Easy control of temperature Low heat transfer capacity

    Easy aeration and high surfa ce

    exchange air/substrate

    Aeration Limitation oby soluble oxygen High

    level of air requiredpH control Easy pH control Buffered solid substrates

    Mecanical agitation Good homogeneization Static conditions prefered

    Scale up Industrial equipments Available Need for Engineering & New

    design Equipment

    Inoculation Easy inoculation , continuous

     process

    Spore inoculation, batch

    Contamination Risks of contamination for single

    strain bacteria

    Risk of contamination for low rate

    growth fungi

    Energetic consideration High energy consuming Low energy consuming

    Volume of Equipment High volumes and high cost

    technology

    Low volumes &low costs of 

    equipments

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    General and microbiological aspects of solid substrate fermentation

    176

    Effluent & pollution High volumes of polluting effluents No effluents, less pollution

    Concentration S /Products 30-80 g/1 100/300g/1

    The following considerations summarise the present status

    of SSF:

    - Potentially many high value products, as enzymes, primary and secondary metabolites, could be produced in

    SSF. But improvements in engineering and socio-econo-

    mic aspects are required because processes must use cheap

    substrates locally available, low technology applicable in

    rural areas, and processes therefore must be simplified.

    - Potential exists in developed countries, but close co-ope-

    ration and exchange between developing and industrialised

    countries are required for further application of SSF.

    - The greatest socio-economical potential of SSF is the rai-

    sing of living standards through the production of protein

    rich foods for human consumption. Protein deficiency is a

    major cause of malnutrition and the problem will become

    worse with further increases in world population. Two

    alternatives can be explored to tackle this problem:

    - Production of protein-enriched fermented foods for directhuman consumption. This alternative involves starchy

    substrates for its initial nutritional caloric value. Successful

     production of such foods will require demonstration of eco-

    nomical feasibility, safety, significant nutritional improve-

    ment, and cultural acceptability.

    - Production of fermented materials for animal feeding.

    Starchy substrates protein-enriched by SSF could be fed to

    monogastric animals or poultry. Fermented lignocellulosic

    substrates, by increasing its fibre digestibility, could be fed

    to ruminants. In this case, the economical feasibility

    should be favourable in comparison to the common model

    using protein of soybean cake, a by-product of soybean oil. product of soybean oil.

    Table 2. Main applications of SSF processes in various economical sectors

    Economical Sector Application Examples

    Agro-Food Industry Traditional Food Fermentations Koji, Tcznpch, Rae, Attickc,

    Fermented cheeses

      Mushroom Production & spawn Agaricus, Pleurotus, Shn-take

      Bioconversion By-products Sugar pulp Bagass Coffee pulp’

    Silage Composting, Detoxication  Food Additives Flavours. Dyestuffs. Essential Fat

    and organic acids

    Agriculture Biocontrol , Bioinsecticide Beauveria Metarhizium, Tricho

    derma

      PlantGrowth, Hormones Gioberellins, Rhizobium, In-choderma

    Mycorhization, Wild Mushroom Plant inoctiation,

    Industrial

    Fermentation

    Enzymes production Amylases, Cellulases Proteases,

    Pectinases, Xylanases

      Artibiotic prduction Penecillin, feed & Probiotics

      Organic acid Production Ciric acid

    Fumaric acidGallic acic

    Lactic acid

    Ethanol Prodixtion Schwanniomyces sp. Sbrch

    Malting and Brewing

    Fungal Metabolites Hormones Alcaloides,

    For the last 15 years, the Orstom group has been working

    on solid fermentation process for improving protein

    content of cassava and other tropical starchy substrates

    using fungi, specially from  Aspergillus  group, in order to

    transform starch and mineral salts into fungal proteins

    (Raimbault, 1981).

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    Raimbault, M.

    177

    More recently, C. Soccol working at our Orstom laboratory

    in Montpellier, obtained good results with fungi of the

     Rhizopus group, of special interest in human traditional

    fermented foods (Soccol, 1992). Increasing knowledge

    about specificity of strains of  Rhizopus  able to degrade

    crude granules of starch has been recently gathered atOrstom, which will drastically simplify the process of SSF.

    The ORSTOM group is also collaborating since 1981 with

    a group at the Universidad Autónoma Metropolitana

    (UAM) in Mexico on the following aspects:

    - Protein enrichment of cassava and starchy substrates

    - Production of organic acids or ethanol by SSF from star-

    chy substrate and cassava

    - Digestibility of fibres and lignocellulosic materials for 

    animal feeding

    - Degradation of caffein in coffee pulp and ensiling for 

    conservation and detoxification

    - Production of enzymes and fungal metabolites by SSFusing sugarcane bagasse

    Hopefully in the future, an extended collaborative program

    could be fitted for other Latin-American research groups

    involved in SSF, which might originate an international

    network including American, Asian, European and Austra-

    lian groups.

    Microorganisms

    Bacteria, yeasts and fungi can grow on solid substrates,

    and find application in SSF processes. Filamentous fungi

    are the best adapted for SSF and dominate in researchworks. Some examples of SSF processes for each category

    of micro-organisms are reported in Table 3.

    Bacteria are mainly involved in composting, ensiling and

    some food processes (Doelle et al., 1992). Yeasts can be

    used for ethanol and food or feed production (Saucedo-

    Castañeda et al., 1992a, 1992b).

    But filamentous fungi are the most important group of 

    microorganisms used in SSF process owing to their physio-

    logical, enzymological and biochemical properties.

    The hyphal mode of fungal growth and their good toleran-

    ce to low water activity (Aw) and high osmotic pressure

    conditions make fungi efficient and competitive in natural

    microflora for bioconversion of solid substrates.

     Koji and Tempeh  are the two most important applicationsof SSF with filamentous fungi. Aspergillus oryzae is grown

    on wheat bran and soybean for  Koji  production, which is

    the first step of soy sauce or citric acid fermentation. Koji

    is a concentrated hydrolytic enzyme medium required in

    further steps of the fermentation process. Tempeh is an In-

    donesian fermented food produced by the growth of  Rhizo-

     pus oligosporus on soybeans. People consume the fermen-

    ted product after cooking or toasting. The fungal fermenta-

    tion allows better nutritive quality and degrades some anti-

    nutritional compounds contained in the crude soybean.

    The hyphal mode of growth gives a major advantage to fi-lamentous fungi over unicellular microorganisms in the

    colonisation of solid substrates and for the utilisation of 

    available nutrients. The basic mode of fungal growth is a

    combination of apical extension of hyphal tips and the ge-

    neration of new hyphal tips through branching. An impor-

    tant feature is that, although extension occurs only at the

    tip at a linear and constant rate, the frequency of branching

    makes the kinetic growth pattern of biomass exponential,

    mainly in the first steps of the vegetative stage. That point

    is important for growth modelling and will be discussed

    further.

    The hyphal mode of growth gives the filamentous fungi the power to penetrate into the solid substrates. The cell wall

    structure attached to the tip and the branching of the myce-

    lium ensure a firm and solid structure. The hydrolytic en-

    zymes are excreted at the hyphal tip, without large dilution

    like in the case of LSF, what makes the action of hydrolytic

    enzymes very efficient and allows penetration into most so-

    lid substrates. Penetration increases the accessibility of all

    available nutrients within particles.

    Table 3. Main groups of microorganisms involved in SSF processes.

    Microflora SSF Process  

    Bacteria   Bacillus sp. Composting, Natto, amylase

    Pseudomonas sp. Composting  Serratia sp. Composting  

    Streptoccus sp. Composting  

    Lactobacillus sp. Ensiling, Food  Clostidrium sp. Ensiling, Food  

     

    Yeast   Endomicopsis burtonii Tape, cassava, rice

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    General and microbiological aspects of solid substrate fermentation

    178

    Saccharomyces cerevisiae Food, Ethanol  

    Schwanniomyces castelli Ethanol, Amylase

     Fungi   

     Altemaria sp. Composting 

     Aspergillus sp. Composting, Industrial, Food Fusarium sp. Composting. GibberellinsMonilia sp. Composting  

    Mucor sp. Composting, Food; enzime

    Rhizopus sp. Composting. Food, enzimes, organic acids

    Phanerochaete chrysosporium Composting, lignin degradation

    Trichoderma sp. Composting Biological control, BioinsecticideBeauveria sp., Metharizium sp. Biological control, Bioinsecticide Amylomyces rouxii Tape cassava, rice Aspergillus oryzae Koji, Food, citric acid Rhizopus oligosporus Tempeh, soybean, amylase, lipase

     Aspergillus niger Feed, Proteins, Amylase, ctric acid Pleurotus oestreatus, sajor-caju Mushroom

    Lentinus edodes Shii-take mushroomPenicilium notatum, roquefortii Penicillin, Cheese 

    Fungi cannot transport macromolecular substrates, but the

    hyphal growth allows a close contact between hyphae and

    substrate surface. The fungal mycelium synthetises and ex-

    cretes high quantities of hydrolytic exoenzymes. The resul-

    ting contact catalysis is very efficient and the simple pro-

    ducts are in close contact to enter the mycelium across the

    cell membrane to promote biosynthesis and fungal metabo-lic activities. This contact catalysis by enzymes can explain

    the logistic model of fungal growth commonly observed

    (Raimbault, 1981). That point will be discussed further.

    Substrates

    All solid substrates have a common feature: their basic ma-

    cromolecular structure. In general, substrates for SSF are

    composite and heterogeneous products from agriculture or 

     by-products of agro-industry. This basic macromolecular 

    structure (e.g. cellulose, starch, pectin, lignocellulose,

    fibres etc..) confers the properties of a solid to the substra-te. The structural macromolecule may simply provide an

    inert matrix (sugarcane bagasse, inert fibres, resins) within

    which the carbon and energy source (sugars, lipids, orga-

    nic acids) are adsorbed. But generally, the macromolecular 

    matrix represents the substrate and provides also the car-

     bon and energy source.

    Preparation and pre-treatment represent the necessary

    steps to convert the raw substrate into a form suitable for 

    use, that include:

    - size reduction by grinding, rasping or chopping

    - physical, chemical or enzymatic hydrolysis of polymers to

    increase substrate availability by the fungus.

    - supplementation with nutrients (phosphorus, nitrogen,

    salts) and setting the pH and moisture content, through a

    mineral solution

    - cooking or vapour treatment for macromolecular struc-ture pre-degradation and elimination of major contami-

    nants. Pre-treatments will be discussed under individual

    applications.

    The most significant problem of SSF is the high heteroge-

    neity, which makes difficult to focus one category of hydro-

    lytic processes, and leads to poor trials of modelling. This

    heterogeneity is of different nature:

    - non-uniform substrate structure (mixture of starch, ligno-

    cellulose, pectin)

    - Variability between batches of substrates, limiting the

    reproducibility

    - Difficulty of mixing solid mass in fermentation, in order to avoid compaction, which causes non uniform growth,

    gradients of temperature, pH and moisture, that makes

    representative samples almost impossible to obtain.

    Each macromolecular type of substrate presents different

    kind of heterogeneity:

    Lignocellulose  occurs within plant cell walls, which

    consist of cellulose microfibrils embedded in lignin, hemi-

    cellulose and pectin. Each category of plant material

    contains variable proportion of each chemical compound.

    Two major problems can limit lignocellulose breakdown:

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    Raimbault, M.

    179

    -  cellulose exists in four recognised crystal structures

    known as celluloses I, II, III and IV. Various chemical

    or thermal treatments can change the structure from

    crystalline to amorphous.

    -  - different enzymes are necessary in order degrade cel-

    lulose, e.g. endo and exo-cellulases plus cellobiase

    Pectins are polymers of galacturonic acid with different ra-

    tio of methylation and branching. Exo-and endo pectinases

    and demethylases that hydrolyse pectin into galacturonic

    acid and methanol. Hemicelluloses are divided in major 

    three groups: xylans, mannans and galactans. Most of he-

    micelluloses are heteropolymers containing two to four 

    different types of sugar residues.

    Lignin represents between 26 to 29% of lignocellulose,

    and is strongly bounded to cellulose and hemicellulose,

    hiding them and protecting them from the hydrolase at-tack. Lignin peroxidase is the major enzyme involved in li-

    gnin degradation.  Phanerochaete chrysosporium  is the

    most recognised fungi for lignin degradation.

    So, lignocellulose hydrolysis is a very complex process. Ef-

    fective cellulose hydrolysis requires the synergetic action of 

    several cellulases, hemicellulases and lignin peroxidases.

    Despite this, lignocellulose is a very abundant and cheap

    natural renewable material, so a lot of work has been

    conducted on its microbial breakdown, specially with fun-

    gal species.

    Starch is another very important and abundant natural so-

    lid substrate. Many microorganisms are capable to hydro-

    lyse starch, but generally its efficient hydrolysis requires

     previous gelatinization. Some recent works concern the

    hydrolysis of the raw (crude or native) starch as it occurs

    naturally.

    The chemical structure of starch is relatively simple com-

     pared to lignocellulose substrates. Essentially starch is

    composed of two related polymers in different proportions

    according to its source: amylose (16-30%) and amylopectin

    (65-85%). Amylose is a polymer of glucose linked by α -1,4 bonds, mainly in linear chains. Amylopectin is a large

    highly branched polymer of glucose including also α-1,6 bonds at the branch points.

    Within the plant, cell starch is stored in the form of granu-

    les located in amyloplasts, intracellular organelles surroun-

    ded by a lipoprotein membrane. Starch granules are highly

    variable in size and shape depending on the plant material.Granules contain both amorphous and crystalline internal

    regions in respective proportions of about 30/70. During

    the process of gelatinization, starch granules swell when

    heated in the presence of water, which involves the brea-

    king of hydrogen bonds, especially in the crystalline re-

    gions.

    Many microorganisms can hydrolyse starch, specially fun-

    gi which are then suitable for SSF application involving

    starchy substrates. Glucoamylase, α-amylase, β-amylase, pullulanase and isoamylase are involved in the processes of 

    starch degradation. Mainly α-amylase and glucoamylaseare of importance for SSF.

    α-amylase is an endo-amylase attacking α-1,4 bonds inrandom fashion which rapidly reduce molecular size of 

    starch and consequently its viscosity producing liquefac-

    tion. Glucoamylase occurs almost exclusively in fungi in-

    cluding  Aspergillus and Rhizopus groups. This exo amyla-

    se produces glucose units from amylose and amylopectin

    chains.

    Microorganisms generally prefer gelatinised starch. But

    large quantity of energy is required for gelatinization so it

    would be attractive to use organisms growing well on raw

    (ungelatinised) starch. Different works are dedicated to

    isolate fungi producing enzymes able to degrade raw

    starch, as has been done by Soccol et al., (1994), Berg-

    mann et al., (1988) and Abe et al., (1988).

    In our laboratory, many studies concerning SSF of cassava,

    a very common tropical starchy crop, have been conducted

    with the purpose of upgrading protein content, both for 

    animal feeding using Aspergillus sp. and for direct human

    consumption, using Rhizopus. Table 4 indicates the protein

    enrichment with different fungi.fungi.

    Table 4. Protein enrichment of Cassava by various selected strains of fungi. (Raimbault et al., 1985)

    Inoculum Composition (% dry basis)

    Strain SourceTime(h)

    Protein Total Sugar  

     Aspergillus niger no.10  Cassava 25 16.5 35.6  

     Aspergillus awamori no.12  Koji 30 16.3 35.1

     Aspergillus usamii no.M140  Koji 30 15.6 29.5  Monilia sitophila no. 27  Pozol 42 15.1 32.3

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    General and microbiological aspects of solid substrate fermentation

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    Rhizopus sp. no. 7  Cassava 48 14.9 39.3

     Aspergillus oryzae no.M84 Koji 30 14.8 30.0  

     Aspergillus sp. no. B1 Banana 30 14.7 39.1

     Aspergillus sp. no. T1 Tempeh 30 14.3 34.0  

     Aspergillus niger no. 31 Cassava 30 14.3 34.5  

     Aspergillus sp. no. 14 Cassava 30 14.2 37.9 Aspergillus terricola no. R3 Ragi 30 14.1 10.9

     Aspergillus sp. no. M101 Tempeh 30 14.0 31.4

     Aspergillus sp. no. 72  Banana 30 13.8 28.2  

     Aspergillus awamori no. 13 Koji 48 13.0 38.8  

     Aspergillus sp. no. M147  Koji 30 12.7 32.4

     Aspergillus niger no. 17  Cassava 30 12.0 45.2  

     Aspergillus sp. no. 39 Banana 30 11.1 40.0  

     Aspergillus sp. no. M82  Tempeh 30 10.9 38.0  

    Raw cassava -- -- 2.50 90.00  

    Recently good results were obtained by Soccol in the pro-

    tein enrichment of cassava and cassava bagasse using se-

    lected strains of  Rhizopus. Biotransformed starchy flours

    were produced containing 10-12% of good quality protein,

    comparable to cereal. Such biotransformed cassava flour 

    can be used as cereal substitute for breadmaking up to a

    level of 20%, without any perceivable change by the consu-

    mer.

    Biomass Measurement

    Biomass is a fundamental parameter in thecharacterisation of microbial growth. Its measurement is

    essential for kinetic studies on SSF. Direct determination

    of biomass in SSF is very difficult due to the problem of se-

     parating the microbial biomass from the substrate. This is

    especially true for SSF processes involving fungi, because

    the fungal hyphae penetrate into and bind tightly to the

    substrate. On the other hand, for the calculation of growth

    rates and yields, it is the absolute amount of biomass which

    is important. Methods that have been used for biomass

    estimation in SSF belong to one of the following catego-

    ries.

    Direct evaluat ion of b iomass 

    Complete recovery of fungal biomass is possible only under 

    artificial circumstances in membrane filter culture, because

    the membrane filter prevents the penetration of the fungal

    hyphae into the substrate (Mitchell et al, 1991). The whole

    of the fungal mycelium can be recovered simply by peeling

    it off the membrane and weighing it directly or after 

    drying. Obviously, this method cannot be used in actual

    SSF. However, it could find application in the calibration

    of indirect methods of biomass determination. Indirect

     biomass estimation methods should be calibrated under 

    conditions as similar as possible to the actual situation in

    SSF. The global mycelium composition could be estimated

    through analysis of the mycelium cultivated in LSF in

    conditions as close as possible to SSF cultivation.

    Microscopic observations can also represent a good way to

    estimate fungal growth in SSF. Naturally, optic examina-tion is not possible at high magnitude but only at stereo

    microscope. Scanning Electron Microscope (SEM) is a

    useful tool to observe the pattern of growth in SSF. New

    approaches and researches are developed for image analy-

    sis by computer software in order to evaluate the total

    length or volume of mycelium on SEM photography. Ano-

    ther new very promising approach is the Confocal Micro-

    scopy, based on specific reaction of fungal biomass with

    specific fluorochrome probes. Resulting 3D images of bio-

    mass can open new ways to appreciate and measure bio-

    mass in situ in a near future.

    Since direct measurement of exact biomass in SSF is a very

    difficult task, then other approaches have been preferred.

    That for, the global stoichiometric equation of microbial

    growth can be considered:preferred. That for, the global

    stoichiometric equation of microbial growth can be

    considered:

    Carbon source + Water + Oxygen + Phosphorus + Nitrogen

    Biomass + CO2 + Metabolites + Heat

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    Raimbault, M.

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    Variation in each component is strictly related to the variation of others when all coefficients are maintained constants.

    Then, measuring one of them allows to determine the evolution of the others.

    Metabol ic measurement o f bio mass 

    - Respiratory metabolism Oxygen consumption and carbon dioxide release result

    from respiration, the metabolic process by which aerobic

    micro-organisms derive most of their energy for growth.

    These metabolic activities are therefore growth associated

    and can be used for the estimation of biomass synthesis.

     As carbon compounds within the substrate are

    metabolised, they are converted into biomass and carbon

    dioxide. Production of carbon dioxide causes the weight of 

    fermenting substrate to decrease during growth, and the

    amount of weight lost can be correlated to the amount of 

    growth that has occurred.

    Growth estimation based on carbon dioxide release or 

    oxygen consumption assumes that the metabolism of thesecompounds is completely growth associated, which means

    that the amount of biomass produced per unit of gas

    metabolised must be constant. Sugama and Okazaki (1979)

    reported that the ratio of mg CO2  evolved to mg dry

    mycelia formed by Aspergillus oryzae on rice ranged from

    0.91 to 1.26 mg CO2  per mg dry mycelium. A gradual

    increase in this ratio was observed late in growth due to

    endogenous respiration. Drastic changes can be observed

    for the respiratory quotient which commonly changes with

    the growth phase, i.e: germination, rapid and vegetative

    growth, secondary metabolism, conidiation and degenera-

    tion of the mycelium. Evolution of CO2 and O2 during SSFof   Rhizopus on cassava is presented in fig 1.

    Figure 1.- Kinetic evolution of CO2 and O2 in air flow during fermentation of Rhizopus on cassava.

    The measurement of either carbon dioxide evolution or 

    oxygen consumption is most powerful when coupled with

    the use of a correlation model. The term correlation model

    is used here to denote a model that correlates biomass with

    a measurable parameter. Correlation models are not

    growth models as such, since they make no predictions as

    to how the measurable parameter changes with time. The

    usefulness of correlation models is that a biomass profile

    can be constructed by following the profile of the

     parameter during growth.

    Application of these correlation models involving

     prediction of growth from oxygen uptake rates or carbon

    dioxide evolution rates requires the use of numerical tech-

    niques to solve the differential equations. A computer and

    appropriate software is therefore essential. If both the

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    monitoring and computational equipment is available, then

    these correlation models provide a powerful mean of 

     biomass estimation since continuous on-line measurements

    can be made. Other advantages of monitoring effluent gas

    concentrations with paramagnetic and infrared analysers

    include the ability to monitor the respiratory quotient toensure optimal substrate oxidation, the ability to

    incorporate automated feedback control over the aeration

    rate, and the non-destructive nature of the measurement

     procedure.

    The metabolic activity in SSF is very important for stu-

    dying all theoretical and practical aspects of respirometric

    measurement of fungal biomass cultivated in SSF. Various

    authors reported data concerning laboratory and scale up

    experiments on respirometric measurement in several ap-

     plications (Raimbault, 1981; Deschamps et al., 1982;

    Bajracharya et al., 1980). An international training coursewas recently dedicated to advances and techniques to study

    fungal growth on SSF (Raimbault et al., 1998).

    - Production of extracellular enzymes or primary metaboli-

    tes

     Another metabolic activity that may be growth associated

    is extracellular enzyme production. Okazaki and co-

    workers (1980) claimed that the α-amylase activity wasdirectly proportional to mycelial weight for  Aspergillus

    oryzae  grown in SSF on steamed rice. For growth of 

     Agaricus bisporus  on mushroom compost, mycelial mass

    was directly proportional to the extracellular laccase

    activity for 70 days (Wood, 1979). In our works we havegenerally observed a good correlation between growth and

    hydrolytic enzymes such as amylases, cellulases or pectina-

    ses (Raimbault, 1981; Roussos et al., 1991b, 1993).

    Also, we have frequently observed a good correlation bet-

    ween mycelial growth and organic acid production, which

    can be estimated from pH measurement or correlated by

    HPLC analysis on extracts. In the case of  Rhizopus, Soccol

    (1992) demonstrated a close correlation between fungal

     protein (biomass) and organic acids (citric, fumaric, lactic

    or acetic).

    Biomass Comp onents 

    The biomass can also be estimated from measurements of a

    specific component, as long as the composition of the bio-

    mass is constant and stable and the fraction of the

    component representative.

    Protein content:

    The most readily measured biomass component is protein.

    We used the protein content (as determined by the Lowry

    method) to measure the growth rate of Aspergillus niger  on

    cassava meal (Raimbault and Alazard, 1980). Growth of 

    Chaetomium cellulolyticum  on wheat straw was

    determined from TCA insoluble nitrogen using the

    Kjeldahl method (Laukevics et al., 1984); biomass protein

    was then calculated as 6,25 times this value. In all cases

    the protein content of the biomass was assumed to be

    constant. Values of biomass protein content measured bythe Biuret method were consistent with those measured by

    the Kjeldahl method. But, unfortunately, the Biuret method

    was not suitable for application to SSF because of non-

    specific interference by substrate starch. The Folin method

    is more sensitive and allowed a greater dilution of the sam-

     ple, which avoided interference from the starch in the

    substrate. Therefore we have chosen the Folin technique to

    measure protein enrichment in starchy substrates.

     Nucleic acids

    DNA content has been used to estimate the biomass of  As- pergillus oryzae on rice (Bajracharya and Mudgett, 1980).

    The method was calibrated using the DNA contents of 

    fungal mycelia obtained in submerged culture. DNA

    contents were higher during early growth and then

    decreased, levelling off as the stationary phase was

    approached. The method was corrected for the DNA

    content of rice, which remained unchanged since

     Aspergillus oryzae  did not produce extracellular DNases.

    Methods based on DNA or RNA determination are reliable

    only if there is little nucleic acid in the substrate and no in-

    terfering chemicals are present.

    Glucosamine

    Glucosamine is a useful compound for the estimation of 

    fungal biomass, taking advantage of the presence of chitin,

     poly-Nacetylglucosamine, in the cell walls of many fungi.

    Interference with this method may occur when using com-

     plex agricultural substrates containing glucosamine in

    glucoproteins (Aidoo et al., 1981).

    The accuracy of the glucosamine method for determination

    of fungal biomass depends on establishing a reliable

    conversion factor relating glucosamine to mycelial dry

    weight (Sharma et al., 1977). However, the proportion of chitin in the mycelium will vary with age and the environ-

    mental conditions. Mycelial glucosamine contents ranged

    from 67 to 126 mg per g dry mycelium. Another disadvan-

    tage of this method is the tedious extraction procedures

    and processing times over 24 hours.

    Ergosterol

    Ergosterol is the predominant sterol in fungi. Glucosamine

    estimation was therefore compared with the estimation of 

    ergosterol for the determination of growth of   Agaricus

    bisporus  (Matcham et al, 1985). In solid cultures, directly

     proportional relationships for glucosamine and ergosterol

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    against linear extension of the mycelium were obtained.

    Determination of ergosterol was claimed to be more

    convenient than glucosamine. It could be recovered and

    separated by HPLC and quantified simply by

    spectrophotometry, providing a sensitive index of biomass

    at low levels of growth. HPLC was necessary to separatethe ergosterol from sterols endogenous to the solid

    substrate. However, Nout et al., (1987) showed that the

    ergosterol content of Rhizopus oligosporus varied from 2 to

    24 micrograms per mg dry biomass, depending on the

    culture conditions, aeration and substrate composition,

    concluding that it was an unreliable method for following

    growth.

    Physical measurement of biomass

    Peñaloza (1991) evaluated mycelial growth, based on the

    difference in the electric conductivity between biomass andthe substrate. Good correlation with biomass was obtained

    and a model was proposed.

    Auria et al.,(1990) monitored the pressure drop in a pac-

    ked bed during SSF of  Aspergillus niger  on a model solid

    substrate consisting of ion exchange resin beads. Pressure

    drop was closely correlated with protein production.

    Pressure drop is a parameter that is simple to measure and

    can be measured on-line. Further studies are required to

    determine whether the use of pressure drop is generally

    applicable for monitoring growth in SSF bioreactors under 

    forced aeration. An interesting point of this physical

    technique resides in the fact that it is sensible to conidia-tion: early conidiophore stage makes the pressure to drop

    drastically and a breaking point can be easily observed.

    In conclusion, the measurement of biomass in SSF is

    important to follow the kinetics of growth in relation to the

    metabolic activity. Measurement of metabolic activity by

    carbon dioxide evolution or oxygen consumption can be

    generally applied, whereas extracellular enzyme produc-

    tion will only be useful when enzyme production is

    reasonably growth-associated.

    Vital staining with fluorescein diacetate has potential in providing basic information as to the mode of growth of 

    fungi on complex solid surfaces, as this method can show

    the distribution of metabolic activity within the mycelium.

    But it cannot be measured on line.

     On the other hand, in the production of protein enriched

    feeds, the protein content itself is of greater importance

    than the actual biomass concentration, and the variation in

     biomass protein content during growth becomes less rele-

    vant.

     Overall, oxygen uptake and carbon dioxide evolution

    methods are probably the most promising techniques for 

     biomass estimation in aerobic SSF as they provide on-line

    information. The monitoring and computing equipment is

    relatively expensive and will not be suitable for low

    technology or rural applications. No method is ideally

    suited to all situations, so the method most appropriate to a

     particular SSF application must be chosen in each case on

    the basis of simplicity, cost and accuracy. A good strategycan be a combination of several techniques based on the

    determination of different parameters that can correlate

    actual biomass with the material balance.

    Environmental Factors

    Environmental factors such as temperature, pH, water 

    activity, oxygen levels and concentrations of nutrients and

     products significantly affect microbial growth and product

    formation. In submerged stirred cultures, environmental

    control is relatively simple because of the homogeneity of 

    the suspension of microbial cells and of the solution of nutrients and products in the liquid phase.

     The low moisture content of SSF enables a smaller reactor 

    volume per substrate mass than LSF and also simplifies

     product recovery (Moo-Young et a1., 1983). However,

    serious problems arise with respect to mixing, heat exchan-

    ge, oxygen transfer, moisture control and gradients of pH,

    nutrient and product as a consequence of the heterogeneity

    of the culture.

    The latter characteristic of SSF render the measurement

    and control of the above mentioned parameters difficult,

    laborious and often inaccurate, thereby limiting the indus-trial potential of this technology (Kim et al, 1985). Due to

    these problems, the micro-organisms that have been

    selected for SSF are the more tolerant to a wide range of 

    cultivation conditions (Mudgett, 1986).

    Moisture content and Water act iv i ty (Aw ) 

    SSF process can be defined as microbial growth on solid

     particles without the presence of free water. The water pre-

    sent in SSF systems exists in a complexed form within the

    solid matrix or as a thin layer either absorbed to the surfa-

    ce of the particles or less tightly bound within the capillaryregions of the solid. Free water will only occur once the

    saturation capacity of the solid matrix is exceeded.

    However, the moisture level at which free moisture

     becomes apparent varies considerably between substrates

    and is dependant upon their water binding characteristics.

    For example, free water is observed when the moisture

    content exceeds 40% in maple bark and 50-55% in rice

    and cassava (Oriol et al., 1988a). With most lignocellulosic

    substrates free water becomes apparent before the 80%

    moisture level is reached (Moo-Young et al., 1983).

    The moisture levels in SSF processes, which vary between

    30 and 85%, has a marked effect on growth kinetics, as

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    shown on Figure 2 (Oriol et al., 1988b). The optimum

    moisture level for the cultivation of  Aspergillus niger   on

    rice was 40%, whereas on coffee pulp the level was 80%,

    which illustrates the unreliability of moisture level as a

     parameter for predicting microbial growth. It is now gene-

    rally accepted that the water requirements of microorganisms should be defined in terms of the water 

    activity (Aw) rather than the water content of the solid sub-

    strate. Aw is a thermodynamic parameter defined in

    relation to the chemical potential of water. Aw is related to

    the condensed phase of absorbed water, but it is well

    correlated (less than 0.2 % error) to the relative humidity

    (RH). Therefore: Aw = RH/100 = p/po, where p is the

    vapour pressure of the water in the substrate and po is the

    vapour pressure of pure water at the corresponding tempe-

    rature, R being the ideal gas constant (Griffin, 1981). Aw

    represents the availability of water for reaction in the solid

    substrate.

    The reduction of Aw has a marked effect on microbial

    growth. Typically, a reduction in Aw extends the lag pha-

    se, decreases the specific growth rate, and results in low

    amount of biomass produced (Oriol et al., 1988b), asshown in fig.2. In general, bacteria require higher values

    of Aw for growth than fungi, thereby enabling fungi to

    compete more successfully at the Aw values encountered in

    SSF processes. With the exception of halophilic bacteria,

    few others grow at Aw values below 0.9 and most bacteria

    require considerably higher minimum Aw values for 

    growth. Some fungi, on the other hand, stop growing only

    at Aw values as low as 0.62 and a number of fungi used in

    SSF processes have minimum growth Aw values between

    0.8 and 0.9 .

    The optimum moisture content for growth and substrate

    utilisation is between 40 and 70% but depends upon the or-

    ganism and the substrate used for cultivation. For example,

    cultivation of Aspergillus niger on starchy substrates, such

    as cassava (Raimbault and Alazard, 1980) and wheat bran

    (Nishio et al., 1979), was optimal at moisture levels consi-

    derably lower than on coffee pulp (Penaloza et al., 1991) or 

    sugarcane bagasse (Roussos et al., 1991a, 1991b). This is

     probably because of the greater water holding capacity of 

    the latter substrate (Oriol et al., 1988b). The optimum Awfor growth of a limited number of fungi used in SSF pro-

    cesses was at least 0.96, whereas the minimum Aw

    required for growth was generally greater than 0 9. This

    suggests that fungi used in SSF processes are not especially

    xerophilic. The optimum Aw values for sporulation in

    Trichoderma viride and  Penicillium roqueforti were lower 

    than those for growth (Gervais et al., 1988). Maintenance

    of the Aw at the growth optimum would allow fungal

     biomass to be produced without sporulation.

    Temperature and Heat Transfer 

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    Stoichiometric global equation of respiration is highly exo-

    thermic and heat generation by high levels of fungal activi-

    ty within the solids lead to thermal gradients because of the

    limited heat transfer capacity of solid substrates. In aero-

     bic processes, heat generation may be approximated from

    the rate or C02 evolution or O2 consumption. Each mole of C02 produced during the oxidation of carbohydrates relea-

    ses 673 Kcal. Therefore, it is important to measure CO2evolution during SSF because it is directly related to the

    risk of temperature increase. Detailed calculations of the

    relation between respiration, metabolic heat and tempera-

    ture were discussed in early works on SSF with Aspergillus

    niger   growing on cassava or potato starch (Raimbault,

    1981). The overall rate or heat transfer may be limited by

    the rates of intra- and inter-particle heat transfer and by

    the rate at which heat is transferred from the particle surfa-

    ce to the gas phase. The thermal characteristics of organic

    material and the low moisture content in SSF areespecially difficult conditions for heat transfer. Saucedo-

    Castañeda et al., l990 developed a mathematical model for 

    evaluating the fundamental heat transfer mechanism in

    static SSF and more specifically to assess the importance of 

    convection and conduction in heat dissipation. This model

    can be used as a basis for automatic control of static

     bioreactors.

     Heat removal is probably the most crucial factor in large

    scale SSF processes. Conventional convection or 

    conductive cooling devices are inadequate for dissipating

    metabolic heat due to the poor thermal conductivity of 

    most solid substrates and results in unacceptable

    temperature gradients. Only evaporative cooling devices provide sufficient heat elimination capacity. Although the

     primary function of aeration during aerobic solid state

    cultivations was to supply oxygen for cell growth and to

    flush out the produced carbon dioxide, it also serves a

    critical function in heat and moisture transfer between the

    solids and the gas phase. The most efficient process for 

    temperature control is water evaporation.

     Maintaining constant temperature and moisture content

    simultaneously in large scale SSF is generally difficult, but

    using the proper ancillary equipment can do this. The

    reactor type can have a large influence on the quality of 

    temperature control achieved. It depends highly of the typeof SSF: static on clay or vertical exchangers, drums or me-

    chanically agitated.

    Control of pH and r isks of con taminat ion 

    The pH of a culture may change in response to metabolic

    activities. The most obvious reason is the secretion of 

    organic acids such as citric, acetic or lactic, which will

    cause the pH to decrease, in the same way than ammonium

    salts consumption. On the other hand, the assimilation of 

    organic acids which may be present in certain media will

    lead to an increase in pH, and urea hydrolysis will result in

    alkalinisation. The kinetics of pH variation depends high-

    ly on the microorganism. With Aspergillus sp., Penicillium

     sp. , and Rhizopus sp. the pH can drop very quickly below

    3.0; for other types of fungi, like Trichoderma, Sporotri-

    chum, Pleurotus sp. the pH is more stable between 4 and 5.

    Besides, the nature of the substrate has a strong influence

    on pH kinetics, due to the buffering effect of lignocellulosicmaterials.

    We have used a mixture of ammonium salt and urea to

    control the pH decrease during growth of A. niger on star-

    chy substrates (Raimbault, 1981). A degree of pH control

    may be obtained by using different ratios of ammonium

    salts and urea in the substrate. Hydrolysis of urea liberates

    ammonia, which counteracts the rapid acidification

    resulting from uptake of the ammonium ion (Raimbault

    and Alazard. 1980). In this manner, we obtained optimal

    growth of  Aspergillus niger   on granulated cassava meal

    when using a 3:2 ratio (on a nitrogen basis) of ammoniumto urea. We observed that during the first stage of cultiva-

    tion the pH increased as the urea was hydrolysed. During

    the subsequent rapid growth stage, ammonium

    assimilation exceeded the rate of urea hydrolysis and the

     pH decreased, but increased again in the stationary phase.

    During cultivation, the pH remained within the limits of 

     pH 5 to pH 6.2, whereas a lower urea concentration

    resulted in a rapid decrease in pH.

    In a similar way, pH adjustment during pilot plant

    cultivation of Trichoderma viride  on sugar-beet pulp was

    effective by spraying with urea solutions due to the urease

    activity of the micro-organism that caused an increase in

     pH by producing ammonia (Durand et al., 1988).

    Finally, in fungal or yeast SSF, bacterial contamination

    may be minimised or prevented by employing a suitably

    low pH.

    Oxygen uptake 

    Aeration fulfils four main functions in SSF, namely (i) to

    maintain aerobic conditions, (ii) to desorb carbon dioxide,

    (iii) to regulate the substrate temperature and (iv) to

    regulate the moisture level. The gas environment may

    significantly affect the relative levels of biomass andenzyme production. In aerobic LSF oxygen supply is often

    the growth limiting factor due to the low solubility of 

    oxygen in water. In contrast, a solid state process allows

    free access of atmospheric oxygen to the substrate.

    Therefore, aeration may be easier than in submerged

    cultivations because of the rapid rate of oxygen diffusion

    into the water film surrounding the insoluble substrate

     particles, and also because of the very high surface of 

    contact between gas phase, substrate and aerial mycelium.

    The control of the gas phase and air flow is a simple and

     practical mean to regulate gas transfer and generally no

    oxygen limitation is observed in SSF when the solid sub-

    strate is particular. It is important to maintain a good ba-

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    General and microbiological aspects of solid substrate fermentation

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    lance between the three phases in SSF (Auria, 1990; Sau-

    cedo-Castañeda et al., 1990).. By this very simple aeration

     process, it is also possible to induce metabolic reactions, ei-

    ther by water stress, heat stress or temperature changes, all

     processes that can drastically change biochemical or 

    metabolic behaviour.

    Concluding Remarks

    SSF is a well-adapted process for cultivation of fungi on

    vegetal materials which are breakdown by excreted hydro-

    lytic enzymes. In contrast with LSF where water is in large

    excess, water activity is a limiting factor in SSF. On the

    other hand, oxygen is a limiting factor in LSF but not in

    SSF, where aeration is promoted by the porous and parti-

    cular structure and by the high surface are of contact which

    facilitate mass transfer between gas and liquid phases.

    SSF are aerobic processes where respiration is fundamental

    for energy supply but, because respiratory metabolism is

    highly exothermic, severe limitation of growth can occur 

    when heat transfer is not efficient enough to avoid tempe-

    rature increase.

    This is why it is so important to study and control respiro-

    metry in SSF. We have developed a laboratory technique to

    measure CO2 and O2 on line in SSF.

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